CN109410544A - A kind of enterprise security early warning system that early warning effect is good - Google Patents
A kind of enterprise security early warning system that early warning effect is good Download PDFInfo
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- CN109410544A CN109410544A CN201811205341.7A CN201811205341A CN109410544A CN 109410544 A CN109410544 A CN 109410544A CN 201811205341 A CN201811205341 A CN 201811205341A CN 109410544 A CN109410544 A CN 109410544A
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B31/00—Predictive alarm systems characterised by extrapolation or other computation using updated historic data
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
- G08B21/02—Alarms for ensuring the safety of persons
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
- G08B21/02—Alarms for ensuring the safety of persons
- G08B21/12—Alarms for ensuring the safety of persons responsive to undesired emission of substances, e.g. pollution alarms
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Abstract
The present invention provides a kind of enterprise security early warning systems that early warning effect is good, including transformer monitoring module, production safety analysis module, personnel health's monitoring modular, personnel safety analysis module and safe early warning module, the transformer monitoring module is used to be monitored the transformer in enterprise's production, the production safety analysis module is based on transformer monitoring interpretation of result production safety, and production safety analysis result is sent to safe early warning module, personnel health's monitoring modular is for being monitored enterprise personnel health, the personnel safety analysis module is based on health monitoring interpretation of result personnel safety, and personnel safety analysis result is sent to safe early warning module, the safe early warning module analyzes result according to production safety and personnel safety analysis result issues safe early warning.The invention has the benefit that providing a kind of enterprise security early warning system that early warning effect is good, enterprise's production safety and personnel safety early warning are realized.
Description
Technical field
The present invention relates to early warning technology fields, and in particular to a kind of enterprise security early warning system that early warning effect is good.
Background technique
With social development and scientific and technological progress, enterprise security problem is more and more prominent, and enterprise is sent out in enterprise security early warning
Exhibition is of great significance.
Summary of the invention
In view of the above-mentioned problems, the present invention is intended to provide a kind of enterprise security early warning system that early warning effect is good.
The purpose of the present invention is realized using following technical scheme:
Provide a kind of enterprise security early warning system that early warning effect is good, including transformer monitoring module, production safety point
Analysis module, personnel health's monitoring modular, personnel safety analysis module and safe early warning module, the transformer monitoring module are used for
Transformer in enterprise's production is monitored, the production safety analysis module is based on transformer monitoring interpretation of result production peace
Entirely, and by production safety analysis result it is sent to safe early warning module, personnel health's monitoring modular is used for enterprise personnel
Health is monitored, and the personnel safety analysis module is based on health monitoring interpretation of result personnel safety, and personnel safety is divided
Analysis result is sent to safe early warning module, and the safe early warning module analyzes result and personnel safety analysis knot according to production safety
Fruit issues safe early warning.
The invention has the benefit that providing a kind of enterprise security early warning system that early warning effect is good, enterprise is realized
Production safety and personnel safety early warning.
Detailed description of the invention
The present invention will be further described with reference to the accompanying drawings, but the embodiment in attached drawing is not constituted to any limit of the invention
System, for those of ordinary skill in the art, without creative efforts, can also obtain according to the following drawings
Other attached drawings.
Fig. 1 is structural schematic diagram of the invention；
Appended drawing reference:
Transformer monitoring module 1, production safety analysis module 2, personnel health's monitoring modular 3, personnel safety analysis module
4, safe early warning module 5.
Specific embodiment
The invention will be further described with the following Examples.
First preferred embodiment:
Referring to Fig. 1, a kind of good enterprise security early warning system of early warning effect of the present embodiment, including transformer monitoring module
1, production safety analysis module 2, personnel health's monitoring modular 3, personnel safety analysis module 4 and safe early warning module 5, the change
Depressor monitoring modular 1 is used to be monitored the transformer in enterprise's production, and the production safety analysis module 2 is based on transformer
Analysis on monitoring result production safety, and production safety analysis result is sent to safe early warning module 5, personnel health's monitoring
For module 3 for being monitored to enterprise personnel health, the personnel safety analysis module 4 is based on health monitoring interpretation of result personnel
Safety, and personnel safety analysis result is sent to safe early warning module 5, the safe early warning module 5 is according to production safety point
It analyses result and personnel safety analysis result issues safe early warning.
A kind of enterprise security early warning system that early warning effect is good is present embodiments provided, enterprise's production safety and people are realized
Member's safe early warning.
Preferably, the transformer monitoring module 1 includes first processing module, Second processing module, third processing module
And fourth processing module, the first processing module reflect the physical quantity or chemical quantity of transformer state using sensor acquisition,
And be converted to electric signal and be sent to Second processing module, the Second processing module is used for the electric signal that receiving sensor transmits,
Signal amplitude is adjusted and interference signal is inhibited then to carry out the acquisition that data are completed in digital-to-analogue conversion to signal, and
The data of acquisition are sent to third processing module, the third processing module according to the collected data to the state of transformer into
Row assessment, the fourth processing module are monitored transformer according to condition evaluation results.
This preferred embodiment transformer monitoring module realizes transformer by the way that transformer data are acquired and are handled
Status assessment further according to the condition evaluation results of transformer, realize the monitoring of transformer.
Preferably, the sensor is embedded in inside transformer or is mounted on transformer case surface.The number of the acquisition
Third processing module is sent to according to by wired.The cable network is optical fiber.
The third processing module includes the first data processing unit, the second data processing unit, third data processing list
Member and state evaluation unit, first data processing unit are used to obtain the first evaluation factor of transformer, second number
It is used to obtain the second evaluation factor of transformer according to processing unit, the third data processing unit is used to obtain the of transformer
Three evaluation factors, the state evaluation unit are used for according to the first evaluation factor, the second evaluation factor and third evaluation factor pair
Transformer state is assessed；
First data processing unit is used to obtain the first evaluation factor of transformer:
Utilize the first evaluation factor of following formula calculating transformer: RU1=(b1+b2+b3)2+(b1+b2+b3)3；
In above-mentioned formula, b1Indication transformer oil dissolved gas hydrogen content, b2Indication transformer oil dissolved gas second
Alkynes content, b3The absolute gas production rate of indication transformer oil dissolved gas carbon monoxide, RU1Indication transformer first assessment because
Son；A possibility that first evaluation factor of the transformer is bigger, and indication transformer oil insulation system breaks down is bigger；
Second data processing unit is used to obtain the second evaluation factor of transformer:
Utilize the second evaluation factor of following formula calculating transformer:
In above-mentioned formula, c1Indication transformer steel core current, c2Indication transformer winding D.C. resistance unbalance factor, c3Table
Show transformer winding absorptance, c4Indication transformer winding dielectric loss, RU2Second evaluation factor of indication transformer；The transformer
The second evaluation factor it is bigger, a possibility that indication transformer winding breaks down, is bigger；
The third data processing unit is used to obtain the third evaluation factor of transformer:
Utilize the third evaluation factor of following formula calculating transformer:
In above-mentioned formula, d1Indication transformer insulation oil temperature, d2Indication transformer insulating oil pH value, d3Indicate transformation
Device insulating oil breakdown voltage, RU3The third evaluation factor of indication transformer；The third evaluation factor of the transformer is bigger, table
Show that a possibility that transformer insulation oil breaks down is bigger；
The state evaluation unit is used for according to the first evaluation factor, the second evaluation factor and third evaluation factor to transformation
Device state is assessed:
Utilize the following formula calculating transformer status assessment factor: MH=μ1RU1+μ2RU2+μ3RU3；
In above-mentioned formula, μ1、μ2、μ3Indicate RU1、RU2、RU3Corresponding weight factor, μ1+μ2+μ3=1, MH indicate transformation
The device status assessment factor；A possibility that Transformer State Assessment factor is bigger, and indication transformer breaks down is bigger.
Accurately handling and generate transformer state for this preferred embodiment third processing modules implement transformer data is commented
Estimate factor pair transformer state to be assessed, specifically, having fully considered that influence transformer oil insulate in data handling procedure
The parameters of structure, transformer winding and transformer insulation oil facilitate the subsequent accurate measurements realized to transformer.
Preferably, the weighted value of each evaluation factor determines in the following ways:
Tax power is carried out to index equipped with m kind subjective weights method and n kind Objective Weighting, every kind of tax power method all meetsL is evaluation factor number；
If optimal weights are [w1, w2..., wl], evaluation factor optimal weights are calculated using following formula:
In above-mentioned formula, wkIndicate k-th of evaluation factor optimal weights, 0≤wk≤ 1, k ∈ { 1,2 ..., l }, wikIt indicates
K-th of evaluation factor weight that i-th kind of subjective weights method obtains, wpkIt indicates to comment for k-th that pth kind Objective Weighting obtains
Estimate Factor Weight, H (wk) indicate k-th of evaluation factor weighting function；
The optimal weights that this preferred embodiment state evaluation unit proposes a kind of subjective and objective weight determine method, realize
The optimization Weight Acquisition of each evaluation factor of transformer.
Preferably, the fourth processing module is monitored transformer according to condition evaluation results: setting transformer shape
State evaluation factor threshold value Z0, as the Z of Transformer State Assessment factor M H0When, transformer is overhauled.
This preferred embodiment fourth processing module realizes effective monitoring of transformer state, by setting transformer state
Evaluation factor threshold value Z0, convenient for being overhauled in time to transformer.
Second preferred embodiment:
Referring to Fig. 1, a kind of good enterprise security early warning system of early warning effect of the present embodiment, including transformer monitoring module
1, production safety analysis module 2, personnel health's monitoring modular 3, personnel safety analysis module 4 and safe early warning module 5, the change
Depressor monitoring modular 1 is used to be monitored the transformer in enterprise's production, and the production safety analysis module 2 is based on transformer
Analysis on monitoring result production safety, and production safety analysis result is sent to safe early warning module 5, personnel health's monitoring
For module 3 for being monitored to enterprise personnel health, the personnel safety analysis module 4 is based on health monitoring interpretation of result personnel
Safety, and personnel safety analysis result is sent to safe early warning module 5, the safe early warning module 5 is according to production safety point
It analyses result and personnel safety analysis result issues safe early warning.
A kind of enterprise security early warning system that early warning effect is good is present embodiments provided, enterprise's production safety and people are realized
Member's safe early warning.
Preferably, the transformer monitoring module 1 includes first processing module, Second processing module, third processing module
And fourth processing module, the first processing module reflect the physical quantity or chemical quantity of transformer state using sensor acquisition,
And be converted to electric signal and be sent to Second processing module, the Second processing module is used for the electric signal that receiving sensor transmits,
Signal amplitude is adjusted and interference signal is inhibited then to carry out the acquisition that data are completed in digital-to-analogue conversion to signal, and
The data of acquisition are sent to third processing module, the third processing module according to the collected data to the state of transformer into
Row assessment, the fourth processing module are monitored transformer according to condition evaluation results.
This preferred embodiment transformer monitoring module realizes transformer by the way that transformer data are acquired and are handled
Status assessment further according to the condition evaluation results of transformer, realize the monitoring of transformer.
Preferably, the sensor is embedded in inside transformer or is mounted on transformer case surface.The number of the acquisition
Third processing module is sent to according to by wired.The cable network is optical fiber.
The third processing module includes the first data processing unit, the second data processing unit, third data processing list
Member and state evaluation unit, first data processing unit are used to obtain the first evaluation factor of transformer, second number
It is used to obtain the second evaluation factor of transformer according to processing unit, the third data processing unit is used to obtain the of transformer
Three evaluation factors, the state evaluation unit are used for according to the first evaluation factor, the second evaluation factor and third evaluation factor pair
Transformer state is assessed；
First data processing unit is used to obtain the first evaluation factor of transformer:
Utilize the first evaluation factor of following formula calculating transformer: RU1=(b1+b2+b3)2+(b1+b2+b3)3；
In above-mentioned formula, b1Indication transformer oil dissolved gas hydrogen content, b2Indication transformer oil dissolved gas second
Alkynes content, b3The absolute gas production rate of indication transformer oil dissolved gas carbon monoxide, RU1Indication transformer first assessment because
Son；A possibility that first evaluation factor of the transformer is bigger, and indication transformer oil insulation system breaks down is bigger；
Second data processing unit is used to obtain the second evaluation factor of transformer:
Utilize the second evaluation factor of following formula calculating transformer:
In above-mentioned formula, c1Indication transformer steel core current, c2Indication transformer winding D.C. resistance unbalance factor, c3Table
Show transformer winding absorptance, c4Indication transformer winding dielectric loss, RU2Second evaluation factor of indication transformer；The transformer
The second evaluation factor it is bigger, a possibility that indication transformer winding breaks down, is bigger；
The third data processing unit is used to obtain the third evaluation factor of transformer:
Utilize the third evaluation factor of following formula calculating transformer:
In above-mentioned formula, d1Indication transformer insulation oil temperature, d2Indication transformer insulating oil pH value, d3Indicate transformation
Device insulating oil breakdown voltage, RU3The third evaluation factor of indication transformer；The third evaluation factor of the transformer is bigger, table
Show that a possibility that transformer insulation oil breaks down is bigger；
The state evaluation unit is used for according to the first evaluation factor, the second evaluation factor and third evaluation factor to transformation
Device state is assessed:
Utilize the following formula calculating transformer status assessment factor: MH=μ1RU1+μ2RU2+μ3RU3；
In above-mentioned formula, μ1、μ2、μ3Indicate RU1、RU2、RU3Corresponding weight factor, μ1+μ2+μ3=1, MH indicate transformation
The device status assessment factor；A possibility that Transformer State Assessment factor is bigger, and indication transformer breaks down is bigger.
Accurately handling and generate transformer state for this preferred embodiment third processing modules implement transformer data is commented
Estimate factor pair transformer state to be assessed, specifically, having fully considered that influence transformer oil insulate in data handling procedure
The parameters of structure, transformer winding and transformer insulation oil facilitate the subsequent accurate measurements realized to transformer.
Preferably, the weighted value of each evaluation factor determines in the following ways:
Tax power is carried out to index equipped with m kind subjective weights method and n kind Objective Weighting, every kind of tax power method all meetsL is evaluation factor number；
If optimal weights are [w1, w2..., wl], evaluation factor optimal weights are calculated using following formula:
In above-mentioned formula, wkIndicate k-th of evaluation factor optimal weights, 0≤wk≤ 1, k ∈ { 1,2 ..., l }, wikIt indicates
K-th of evaluation factor weight that i-th kind of subjective weights method obtains, wpkIt indicates to comment for k-th that pth kind Objective Weighting obtains
Estimate Factor Weight, H (wk) indicate k-th of evaluation factor weighting function；
The optimal weights that this preferred embodiment state evaluation unit proposes a kind of subjective and objective weight determine method, realize
The optimization Weight Acquisition of each evaluation factor of transformer.
Preferably, the fourth processing module is monitored transformer according to condition evaluation results: setting transformer shape
State evaluation factor threshold value Z0, as Transformer State Assessment factor M H >=Z0When, transformer is overhauled.
This preferred embodiment fourth processing module realizes effective monitoring of transformer state, by setting transformer state
Evaluation factor threshold value Z0, convenient for being overhauled in time to transformer.
Enterprise security early warning is carried out using the good enterprise security early warning system of early warning effect of the present invention, choose 5 enterprises into
Row experiment, respectively enterprise 1, enterprise 2, enterprise 3, enterprise 4, enterprise 5, count early warning accuracy rate and early warning efficiency, together
The prior art is compared, and generation has the beneficial effect that shown in table:
| Early warning accuracy rate improves | Early warning efficiency improves | |
| Enterprise 1 | 29% | 27% |
| Enterprise 2 | 27% | 26% |
| Enterprise 3 | 26% | 26% |
| Enterprise 4 | 25% | 24% |
| Enterprise 5 | 24% | 22% |
Through the above description of the embodiments, those skilled in the art can be understood that it should be appreciated that can
To realize the embodiments described herein with hardware, software, firmware, middleware, code or its any appropriate combination.For hardware
It realizes, processor can be realized in one or more the following units: specific integrated circuit (ASIC), digital signal processor
(DSP), digital signal processing appts (DSPD), programmable logic device (PLD), field programmable gate array (FPGA), processing
Device, controller, microcontroller, microprocessor, other electronic units designed for realizing functions described herein or combinations thereof.
For software implementations, some or all of embodiment process can instruct relevant hardware to complete by computer program.
When realization, above procedure can be stored in computer-readable medium or as the one or more on computer-readable medium
Instruction or code are transmitted.Computer-readable medium includes computer storage media and communication media, wherein communication media packet
It includes convenient for from a place to any medium of another place transmission computer program.Storage medium can be computer can
Any usable medium of access.Computer-readable medium can include but is not limited to RAM, ROM, EEPROM, CD-ROM or other
Optical disc storage, magnetic disk storage medium or other magnetic storage apparatus or can be used in carry or store have instruction or data
The desired program code of structure type simultaneously can be by any other medium of computer access.
Finally it should be noted that the above embodiments are merely illustrative of the technical solutions of the present invention, rather than the present invention is protected
The limitation of range is protected, although explaining in detail referring to preferred embodiment to the present invention, those skilled in the art are answered
Work as understanding, it can be with modification or equivalent replacement of the technical solution of the present invention are made, without departing from the reality of technical solution of the present invention
Matter and range.
Claims (7)
1. a kind of enterprise security early warning system that early warning effect is good, which is characterized in that including transformer monitoring module, production safety
Analysis module, personnel health's monitoring modular, personnel safety analysis module and safe early warning module, the transformer monitoring module are used
Transformer in producing to enterprise is monitored, and the production safety analysis module is produced based on transformer monitoring interpretation of result
Safety, and production safety analysis result is sent to safe early warning module, personnel health's monitoring modular is used for Enterprise Human
Member's health is monitored, and the personnel safety analysis module is based on health monitoring interpretation of result personnel safety, and by personnel safety
Analysis result is sent to safe early warning module, and the safe early warning module analyzes result according to production safety and personnel safety is analyzed
As a result safe early warning is issued.
2. the good enterprise security early warning system of early warning effect according to claim 1, which is characterized in that the transformer prison
Surveying module includes first processing module, Second processing module, third processing module and fourth processing module, the first processing mould
Block reflects the physical quantity or chemical quantity of transformer state using sensor acquisition, and is converted to electric signal and is sent to second processing mould
Block, the Second processing module are used for the electric signal that receiving sensor transmits, are adjusted to signal amplitude and to interference signal
Inhibited then to carry out the acquisition that data are completed in digital-to-analogue conversion to signal, and the data of acquisition are sent to third processing mould
Block, the third processing module according to the collected data assess the state of transformer, the fourth processing module according to
Condition evaluation results are monitored transformer.
3. the good enterprise security early warning system of early warning effect according to claim 2, which is characterized in that the sensor is pre-
It is embedded in inside transformer or is mounted on transformer case surface, the data of the acquisition handle mould by wired third that is sent to
Block, the cable network are optical fiber.
4. the good enterprise security early warning system of early warning effect according to claim 3, which is characterized in that the third processing
Module includes the first data processing unit, the second data processing unit, third data processing unit and state evaluation unit, described
First data processing unit is used to obtain the first evaluation factor of transformer, and second data processing unit is for obtaining transformation
Second evaluation factor of device, the third data processing unit are used to obtain the third evaluation factor of transformer, and the state is commented
Unit is estimated for assessing according to the first evaluation factor, the second evaluation factor and third evaluation factor transformer state.
5. the good enterprise security early warning system of early warning effect according to claim 4, which is characterized in that first data
Processing unit is used to obtain the first evaluation factor of transformer:
Utilize the first evaluation factor of following formula calculating transformer: RU1=(b1+b2+b3)2+(b1+b2+b3)3；
In above-mentioned formula, b1Indication transformer oil dissolved gas hydrogen content, b2Indication transformer oil dissolved gas acetylene contains
Amount, b3The absolute gas production rate of indication transformer oil dissolved gas carbon monoxide, RU1First evaluation factor of indication transformer；Institute
A possibility that the first evaluation factor for stating transformer is bigger, and indication transformer oil insulation system breaks down is bigger.
6. the good enterprise security early warning system of early warning effect according to claim 5, which is characterized in that second data
Processing unit is used to obtain the second evaluation factor of transformer:
Utilize the second evaluation factor of following formula calculating transformer:
In above-mentioned formula, c1Indication transformer steel core current, c2Indication transformer winding D.C. resistance unbalance factor, c3It indicates to become
Depressor winding absorptance, c4Indication transformer winding dielectric loss, RU2Second evaluation factor of indication transformer；The of the transformer
A possibility that two evaluation factors are bigger, and indication transformer winding breaks down is bigger.
7. the good enterprise security early warning system of early warning effect according to claim 6, which is characterized in that the third data
Processing unit is used to obtain the third evaluation factor of transformer:
Utilize the third evaluation factor of following formula calculating transformer:
In above-mentioned formula, d1Indication transformer insulation oil temperature, d2Indication transformer insulating oil pH value, d3Indication transformer is exhausted
Edge oil breakdown voltage, RU3The third evaluation factor of indication transformer；The third evaluation factor of the transformer is bigger, indicates to become
A possibility that depressor insulating oil breaks down is bigger；
The state evaluation unit is used for according to the first evaluation factor, the second evaluation factor and third evaluation factor to transformer shape
State is assessed:
Utilize the following formula calculating transformer status assessment factor: MH=μ1RU1+μ2RU2+μ3RU3；
In above-mentioned formula, μ1、μ2、μ3Indicate RU1、RU2、RU3Corresponding weight factor, μ1+μ2+μ3=1, MH indication transformer shape
State evaluation factor；A possibility that Transformer State Assessment factor is bigger, and indication transformer breaks down is bigger.
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Application publication date: 20190301 |